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Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud

Summary: CaaSPER is a vertical autoscaling algorithm for monolithic DBaaS, blending reactive and proactive CPU resizing to reduce resource slack. App- and platform-agnostic; enables cost–performance trade-offs and maintains CPU utilization at target. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hec8d61e177119b52
Venue
SIGMOD
Year
2024
Pagerank
5.2283159e-05
Overall Rank
9,075 | 38.99%
DOI
10.1145/3626246.3653378

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pavlenko_sigmod24,
        title = {{Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud}},
        author = {Pavlenko, Anna and Cahoon, Joyce and Zhu, Yiwen and Kroth, Brian and Nelson, Michael and Carter, Andrew and Liao, David and Wright, Travis and Camacho-Rodríguez, Jesús and Saur, Karla},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626246.3653378},
        url = {https://dl.acm.org/doi/10.1145/3626246.3653378},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,129 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
165 The Dangers of Replication and a Solution 1996 SIGMOD 0.00027270353
235 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023697028
585 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00015949541
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.0001481781
835 Automatic Virtual Machine Configuration for Database Workloads 2008 SIGMOD 0.00013573201
1,067 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.0001219157
1,338 SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service 2013 CIDR 0.00010979494
1,939 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.3331247e-05
1,994 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 9.2176321e-05
2,999 Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service 2015 VLDB 7.7676694e-05
3,071 Database Replication: a Tale of Research across Communities 2010 VLDB 7.6809448e-05
3,237 Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs 2013 SIGMOD 7.5017163e-05
4,025 MagicScaler: Uncertainty-aware, Predictive Autoscaling 2023 VLDB 6.8460581e-05
4,902 Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service 2023 VLDB 6.3639631e-05
4,912 A Top-Down Approach to Achieving Performance Predictability in Database Systems 2017 SIGMOD 6.3578361e-05
5,389 Flexible Resource Allocation for Relational Database-as-a-Service 2023 VLDB 6.1511236e-05
5,938 Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud 2022 VLDB 5.9411704e-05
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